# isNetwork

From ghypernet v1.0.0
by Giona Casiraghi

##### Test null model vs full ghype.

isNetwork tests a graph for the SCM vs the full ghype model.

##### Usage

```
isNetwork(
graph,
directed,
selfloops,
Beta = TRUE,
nempirical = NULL,
parallel = FALSE,
returnBeta = FALSE,
seed = NULL
)
```

##### Arguments

- graph
adjacency matrix or igraph graph

- directed
a boolean argument specifying whether object is directed or not.

- selfloops
a boolean argument specifying whether the model should incorporate selfloops.

- Beta
boolean, use Beta test? default TRUE

- nempirical
optional, number of graphs to sample from null distribution for empirical distribution.

- parallel
optional, number of cores to use or boolean for parallel computation. If passed TRUE uses all cores-1, else uses the number of cores passed. If none passed performed not in parallel.

- returnBeta
boolean, return estimated parameters of Beta distribution? Default FALSE.

- seed
optional integer, seed for empirical lr.test

##### Value

p-value of test.

##### Examples

```
# NOT RUN {
data("adj_karate")
isNetwork(graph = adj_karate, directed = FALSE, selfloops = FALSE, seed=123)
# }
```

*Documentation reproduced from package ghypernet, version 1.0.0, License: AGPL-3*

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